EZH2 gain-of-function mutations distort H3K27me3 landscapes and transform transcriptional responses to PRC2 inhibition.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 244 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 244 samples: 244 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- EZH2 mutations in follicular lymphoma distort H3K27me3 profiles and alter transcriptional responses to PRC2 inhibitionNature communications · 2024
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE218717_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA905334 and SRA study SRP409735. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 244 sample titles: 244 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM6755421 PRC2 WT iMEFs rep1 [A988T01 RNA-seq]
- GSM6755422 PRC2 WT iMEFs rep2 [A988T02 RNA-seq]
- GSM6755423 Ezh2_KO iMEFs rep1 [A988T03 RNA-seq]
- GSM6755424 Ezh2_KO iMEFs rep2 [A988T04 RNA-seq]
- GSM6755425 H3.3K27M iMEFs rep1 [A988T09 RNA-seq]
- GSM6755426 H3.3K27M iMEFs rep2 [A988T10 RNA-seq]
- GSM6755427 H3.3K27M Ezh2_KO iMEFs rep1 [A988T11 RNA-seq]
- GSM6755428 H3.3K27M Ezh2_KO iMEFs rep2 [A988T12 RNA-seq]
- GSM6755429 Eed_KO iMEFs rep1 [A988T13 RNA-seq]
- GSM6755430 Eed_KO iMEFs rep2 [A988T14 RNA-seq]
- GSM6755431 PRC2 WT iMEFs rep3 [D557C01 RNA-seq]
- GSM6755432 PRC2 WT iMEFs rep4 [D557C02 RNA-seq]
- GSM6755433 Ezh2_KO iMEFs rep3 [D557C03 RNA-seq]
- GSM6755434 Ezh2_KO iMEFs rep4 [D557C04 RNA-seq]
- GSM6755435 Eed_KO iMEFs rep3 [D557C09 RNA-seq]
- GSM6755436 Eed_KO iMEFs rep4 [D557C10 RNA-seq]
- GSM6755437 H3.3K27M iMEFs rep3 [D557C11 RNA-seq]
- GSM6755438 H3.3K27M iMEFs rep4 [D557C12 RNA-seq]
- GSM6755439 PRC2 WT iMEFs rep5 [D729T13 RNA-seq]
- GSM6755440 PRC2 WT iMEFs rep6 [D729T14 RNA-seq]
- GSM6755441 Eed_KO iMEFs rep5 [D729T19 RNA-seq]
- GSM6755442 Eed_KO iMEFs rep6 [D729T20 RNA-seq]
- GSM6755443 Ezh2_Y641F iMEFs rep1 [A988T05 RNA-seq]
- GSM6755444 Ezh2_Y641F iMEFs rep2 [A988T06 RNA-seq]
- GSM6755445 PRC2 WT iMEFs PRC2i ctrl rep1 [D448-D447T100 RNA-seq]
- GSM6755446 PRC2 WT iMEFs PRC2i ctrl rep2 [D448-D447T106 RNA-seq]
- GSM6755447 Ezh2_Y641F iMEFs PRC2i ctrl rep1 [D448-D447T103 RNA-seq]
- GSM6755448 Ezh2_Y641F iMEFs PRC2i ctrl rep2 [D448-D447T109 RNA-seq]
- GSM6755449 Ezh2_Y641F iMEFs rep3 [D557C05 RNA-seq]
- GSM6755450 Ezh2_Y641F iMEFs rep4 [D557C06 RNA-seq]
- GSM6755451 Ezh2_Y641F iMEFs rep5 [D729T17 RNA-seq]
- GSM6755452 Ezh2_Y641F iMEFs rep6 [D729T18 RNA-seq]
- GSM6755453 PRC2 WT iMEFs PRC2i 0.25µM rep1 [D448-D447T101 RNA-seq]
- GSM6755454 PRC2 WT iMEFs PRC2i 2µM rep1 [D448-D447T102 RNA-seq]
- GSM6755455 Ezh2_Y641F iMEFs PRC2i 0.25µM rep1 [D448-D447T104 RNA-seq]
- GSM6755456 Ezh2_Y641F iMEFs PRC2i 2µM rep1 [D448-D447T105 RNA-seq]
- GSM6755457 PRC2 WT iMEFs PRC2i 0.25µM rep2 [D448-D447T107 RNA-seq]
- GSM6755458 PRC2 WT iMEFs PRC2i 2µM rep2 [D448-D447T108 RNA-seq]
- GSM6755459 Ezh2_Y641F iMEFs PRC2i 0.25µM rep2 [D448-D447T110 RNA-seq]
- GSM6755460 Ezh2_Y641F iMEFs PRC2i 2µM rep2 [D448-D447T111 RNA-seq]
+ 204 more — browse all 244 samples with per-sample file links →
- GSE218716 EZH2 gain-of-function mutations distort H3K27me3 landscapes and transform transcriptional responses to PRC2 inhibition [ChIP-Seq/Cut&Run-Seq] 156 samples shares h3k27me3, ezh2, prc2, gain-of-function, landscapes, inhibition, mutations, transform
- GSE291509 A conserved function of EZH2-PRC2 in the repression of primitive endoderm cell fate 43 samples shares ezh2, prc2
- GSE266298 Epigenetic changes by EZH2 inhibition increase translocations in B cells with high AID activity or DNA repair deficiency 130 samples shares ezh2, inhibition
- GSE269652 SP1 antagonizes H3K27me3 to shape chromatin landscapes for RNA polymerase II recruitment during gastrulation 106 samples shares h3k27me3, landscapes
- GSE261746 EZH2 INHIBITION ENHANCES T CELL IMMUNOTHERAPIES BY INDUCING LYMPHOMA IMMUNOGENICITY AND IMPROVING T CELL FUNCTION 54 samples shares ezh2, inhibition
- GSE255548 EZH2 INHIBITION ENHANCES T CELL IMMUNOTHERAPIES BY INDUCING LYMPHOMA IMMUNOGENICITY AND IMPROVING T CELL FUNCTION (RNA-Seq) 35 samples shares ezh2, inhibition
- GSE278481 EZH2 INHIBITION ENHANCES T CELL IMMUNOTHERAPIES BY INDUCING LYMPHOMA IMMUNOGENICITY AND IMPROVING T CELL FUNCTION (CUT&RUN) 16 samples shares ezh2, inhibition
- GSE71225 EZH2 inhibition as a targeted therapy for H3K27M mutant pediatric gliomas [ChIP-seq] 13 samples shares ezh2, inhibition
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.